Jan Zhang

633 citations
9 papers · 476 indexed · 1 hit paper · h-index 7

Impact in

    • Immune Cell Function and Interaction
    • Immunotherapy and Immune Responses
    • Immune cells in cancer
    • Cancer Immunotherapy and Biomarkers
    • CAR-T cell therapy research

Papers in

    • Cancer Immunotherapy and Biomarkers 4
    • Immune Cell Function and Interaction 2

Jan Zhang

9 papers receiving 470 citations

Hit Papers

Modulation of EZH2 expression in T cells improves efficacy of anti–CTLA-4 therapy 2018 · 182 citations
182201820262020202350100150

Peers

Jan Zhang
Comparison fields: 5 of 61
  • Immunology 169
  • Oncology 186
  • Environmental Chemistry 56
  • Oceanography 62
  • Molecular Biology 168
Replace David Olsen with:
David Olsen United States
Laura Palomo Spain
Ilaria Bernardini Italy
Xuefeng Zhao China
Kazuya Yoshizawa Japan
Nieves Perdigones Spain
Xinming Liu China
Lia Burkhardt Germany
Yurong Gu China
Bente Lund Denmark
Jan Zhang relative to David Olsen United States David Olsen's profile →
Citations per field
00.5×8.9×
David Olsen · 1×
Citations per year

Countries citing papers authored by Jan Zhang

Since Specialization
Citations

This map shows the geographic impact of Jan Zhang's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Jan Zhang with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jan Zhang more than expected).

Fields of papers citing papers by Jan Zhang

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Jan Zhang. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Jan Zhang. The network helps show where Jan Zhang may publish in the future.

Co-authors

The 25 scholars most cited alongside Jan Zhang, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Jan Zhang Line = papers co-authored together Jan Zhang links everyone, so they are left out of the graph.

All Works

9 of 9 papers shown
#Work
1 202327
2 202115
3 20211
4 202092
5 201935
6 201930
7
Modulation of EZH2 expression in T cells improves efficacy of anti–CTLA-4 therapy
Hit paper breakdown →
2018182
8 200992
9 20052

About Jan Zhang

Jan Zhang is a scholar working on Oncology, Immunology, Environmental Chemistry, Condensed Matter Physics and Oceanography, having authored 9 papers that have together received 476 indexed citations. Recurring topics across this work include Cancer Immunotherapy and Biomarkers (4 papers), Bladder and Urothelial Cancer Treatments (2 papers), Epigenetics and DNA Methylation (2 papers), Immune Cell Function and Interaction (2 papers), Cyclone Separators and Fluid Dynamics (1 paper), Cardiovascular Disease and Adiposity (1 paper), Semiconductor Quantum Structures and Devices (1 paper) and Lipid metabolism and disorders (1 paper). The work is most often cited by research in Immunology (169 citations), Oncology (186 citations), Environmental Chemistry (56 citations), Oceanography (62 citations) and Molecular Biology (168 citations). Jan Zhang has collaborated with scholars based in United States, China and Sweden. Frequent co-authors include Sangeeta Goswami, Padmanee Sharma, Liangwen Xiong, James P. Allison, Swetha Anandhan, Xuejun Zhang, Irina Apostolou, Patrick Trojer, Jill Skepner and Sumit K. Subudhi. Their work appears in journals such as Science Translational Medicine, Journal of Clinical Oncology, Journal of Physics D Applied Physics, Adipocyte and Journal of Clinical Investigation.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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